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Analysis of quality enabled factors of production planning system stage of production system life cycle using interpretive structural modelling approach

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  • Rajesh Attri
  • Sandeep Grover

Abstract

Production planning and control system plays an imperative part in a manufacturing organisation. It involves the determination of best way of attaining the estimated demand of a product. But, the production planning system stage of production system life cycle (PSLC) is affected by a number of critical elements known as quality enabled factors (QEFs). QEFs are those elements or parameters whose consideration in the decision making will enhance the quality of decisions made in this stage. So, the main objective of this paper is to identify and analyse the QEFs of production planning system stage of PSLC. In view of this, various QEFs are identified through the extensive literature analysis and discussion with experts. Then, questionnaire-based survey is utilised for the validation of identified QEFs. Afterwards, interpretive structural modelling (ISM) approach is applied for analysing the relationship among the identified QEFs. At last, matriced impacts croises multiplication appliqueeaun classement (MICMAC) analysis is used to categorise the QEFs according to their driving and dependence power.

Suggested Citation

  • Rajesh Attri & Sandeep Grover, 2017. "Analysis of quality enabled factors of production planning system stage of production system life cycle using interpretive structural modelling approach," International Journal of Productivity and Quality Management, Inderscience Enterprises Ltd, vol. 22(1), pages 22-41.
    • Handle: RePEc:ids:ijpqma:v:22:y:2017:i:1:p:22-41
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    Cited by:

    1. Mirco Peron & Giuseppe Fragapane & Fabio Sgarbossa & Michael Kay, 2020. "Digital Facility Layout Planning," Sustainability, MDPI, vol. 12(8), pages 1-17, April.
    2. M. Suresh & G. Mahadevan & R. Dev Abhishek, 2019. "Modelling the factors influencing the service quality in supermarkets," International Journal of System Assurance Engineering and Management, Springer;The Society for Reliability, Engineering Quality and Operations Management (SREQOM),India, and Division of Operation and Maintenance, Lulea University of Technology, Sweden, vol. 10(6), pages 1474-1486, December.
    3. André Luiz Romano & Luís Miguel D. F. Ferreira & Sandra Sofia F. S. Caeiro, 2021. "Modelling Sustainability Risk in the Brazilian Cosmetics Industry," Sustainability, MDPI, vol. 13(24), pages 1-26, December.
    4. Shailendra Kumar & Manik Gupta & Mohd Suhaib & Mohammad Asjad, 2021. "Current status, enablers and barriers of implementing cellular manufacturing system in sports industry through ISM," International Journal of System Assurance Engineering and Management, Springer;The Society for Reliability, Engineering Quality and Operations Management (SREQOM),India, and Division of Operation and Maintenance, Lulea University of Technology, Sweden, vol. 12(3), pages 345-360, June.

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